The network is composed of multiple mobile embedded nodes.
Based on the duty cycle and the working load of the mechanical hydraulic pump, the lightweight crowd data-driven scheme could adjust the efficiency of the system to provide the accurate RF information for mobile embedded nodes.
When the residual energy of mobile embedded nodes is decreased and the crowd data is larger, the node can move from A to B in order to meet the requirement of the mechanical hydraulic characteristic detection.
When the embedded node forwarding of swarm intelligence data meets the demand characteristic analysis of mechanical hydraulic, adjusting mobile embedded nodes of the perceived distance and signal transmit power, at the edge of the state, achieves lightweight data-driven service push.
In first experiment, the mobile embedded nodes were deployed in a set of transmission system.
We assume that the mobile embedded nodes are deployed in a mechanical device with a hop detection signal within the effective sensing radius.
